Marketing Glossary
Winning the AI Search Race: Lessons from 2025 Trends, November 11 [Webinar]
AI Search in 2025 is redefining how users find information by delivering context-aware, conversational, and personalized results instead of simple keyword matches. It integrates generative AI to summarize, recommend, and predict user intent for faster and smarter decision-making.
Digital Marketing Depot is hosting a webinar, ‘Winning the AI Search Race: Lessons from 2025 Trends’ on Tuesday, November 11, 2025, at 1.00 pm EDT.
The DMD team says, “Search has changed and the playbook has been added to. In fact, good SEO helps you perform well on AI. In 2025, AI-powered results are taking over, rankings are changing. ChatGPT, for example, is mostly text-based, ranking feeling answers, but brands still rank. Organic traffic is shrinking fast, and most brands aren’t ready.
In this webinar, Gerald Murphy from Semrush and Myriam Jessier from Pragm will show you exactly what’s happening behind the scenes of AI search, backed by fresh Semrush data. More importantly, you’ll walk away with a clear AI visibility audit framework that helps you see where your brand stands today and how to stay visible when nobody clicks.
This session is built for marketing leaders who want clarity, not hype, and a practical process they can put to work right away.”
Ways to Optimize for Important Google Ranking Factors
Optimizing for Google ranking factors is crucial to improve visibility, attract organic traffic, and enhance website credibility. A well-optimized site ensures better user experience, faster performance, and higher chances of appearing on the first page of search results.
Semrush contributor Zach Paruch has published an article featuring useful tips on important Google ranking factors and how to optimize for them.
He says, “Google ranking factors are the specific signals Google’s algorithms use to determine which content to rank in search results and where.
Google outlines how it ranks content using five broad “search signals”:
- Meaning of your query: Google uses language models to match queries to relevant content
- Relevance of content: Google analyzes whether content contains search terms (in headings, body text, etc.) and uses user interaction data to determine if pages offer genuinely relevant information beyond just keyword repetition
- Quality of content: Google prioritizes content that demonstrates expertise, authoritativeness, and trustworthiness
- Usability of content: Google favors content that’s accessible and easy to use by considering page experience factors”.
What is Index Bloat? [Video]
MOZ has published the latest episode of the Whiteboard Friday video ‘What is Index Bloat?’ featuring Tom Capper.
The MOZ team says, “Deep dive into index bloat – a critical SEO challenge affecting medium to large websites. Learn how to identify URLs consuming your index quota without delivering traffic, understand the difference between crawl budget and index bloat, and discover practical solutions for cleanup. This Whiteboard Friday video helps you assess your site’s index health and implement effective remediation steps, from content consolidation to proper URL handling.”
Winning the Retail Media Game, November 6 [Webinar]
The Adweek team says, “Join experts from Instacart, General Mills, and Kenvue for an inside look at how top brands are navigating the evolving retail media landscape. From smarter budget allocation to omnichannel integration, this panel will share proven strategies for building performance-driven retail media plans that deliver measurable results.
You’ll Learn:
– How leading brands are blending retail media with broader omnichannel plans
– How brands are thinking about investment in the face of tightening budgets
– The next wave of retail media innovation and technology shaping the future of commerce”.
Why CMOs Are Rewriting Their Marketing Strategies for 2026 [Video]
This video covers the following:
- Why we’re seeing a “two-tier development” among CMOs — and which group is already gaining competitive advantage while others remain completely unaware
- The three critical areas every marketing leader must understand: visibility tracking, prompt optimisation, and source citation strategies
- How to use cutting-edge tools like Peec AI to analyse your brand’s AI search performance versus competitors (including a live demo using HubSpot)
- The exact websites and content formats that AI tools prioritise when making recommendations — and how to get your brand featured.
Why “AI Search is Just SEO” is a Dangerous Lie [Video]
This video covers the following:
- The three pieces of indisputable proof that AI Search Optimisation operates by completely different rules than traditional SEO (including why 40% of sites in AI Overviews don’t even rank on Google’s first page)
- Why top-ranking websites frequently get ignored by AI tools, whilst lesser-ranked sites leapfrog into AI recommendations — creating unexpected opportunities for smart marketers
- The hidden mechanics behind how AI tools decide what to recommend, including when they skip web searches entirely and why they prefer third-party sources over brand websites
- Exactly why traditional SEO strategies fail when AI tools draw recommendations from Reddit, TripAdvisor, Forbes, and authority publications instead of your carefully optimised website
- The specific types of digital PR and earned media strategies that influence AI recommendations across ChatGPT, Perplexity, and Claude.
What’s Your Brand’s Point of View (and Who Decides)? [Video]
The CMI team says, “As businesses face increasing pressure to innovate, many are building “idea marketplaces” — systems for resurfacing and connecting ideas that dropped off their radar. While it’s true that promising ideas often get buried or ignored, the approach overlooks a fundamental organizational challenge: failure to clarify beliefs about its business, customers, or market. Robert Rose says this gap leaves marketers without a metric to gauge which ideas are worth pursuing. Read this week’s Rose-Colored Glasses for his recommended fix.”
Why You Should Prioritize Your Website Content in Age of AI [Video]
The CMI team says, “Some marketers think zero-click search and AI-delivered answers mean people don’t need their brands’ website content anymore. Maybe you’ve had a similar thought. Georgie Jones, head of content at Storyblok, has a different thought. “Your website is now more important than ever. Your website is now the source of truth for your brand.” That’s why Georgie and Arthur Mystoyan, SEO manager at Storyblok, came together to present a recent Content Marketing Institute webinar: Your Website Matters More than Ever: How to Thrive in an Age of AI Search (and What it Means for SEO).”
What are methods for keyword clustering and topic modeling? [Answered]
Keyword clustering groups related keywords into categories, helping to organize content around themes instead of single terms. Topic modeling goes deeper by identifying underlying topics in text, enabling content strategies that align with user intent and search relevance.
Semrush has published an article answering the question, ‘What are methods for keyword clustering and topic modeling?’.
The Ahrefs team says, “Methods for keyword clustering and topic modeling include automated clustering based on search intent, SERP overlap, semantic similarity, and grouping keywords manually.
Keyword clustering and topic modeling help organize large keyword lists into groups that make sense for content creation and SEO strategy.
Here are the two main ways to do clustering:
- Let SEO tools do the work. Tools like Keyword Strategy Builder have clustering features built into it that automatically group your keywords based on things like search intent, SERP overlap, and semantic similarity.”
Why Cracker Barrel’s ‘Failed’ Rebrand Wasn’t a Big Mistake [Video]
The CMI team says, “Cracker Barrel’s recent logo design has sparked a firestorm of comments across social media. But was the decision to replace its iconic rocking chair with a minimalist monogram a brand-destroying mistake or a minor setback on the road to greater relevance? Fear of backlash has compelled marketers to play it safe to avoid costly errors. Yet, Robert Rose argues the more damaging mistake in the AI era is failing to take creative risks — even if the results don’t all land as intended. Read this week’s Rose-Colored Glasses to learn why.”
